Fixed 2 bugs. 1) If the dataset contains images with the same name (they may be in different folders), the algorithm deletes one and copies the other to its location,causing training to be performed with multiple copies of the same image. 2) If one class name is substring of another (e.g. class 1: '0', class 2 '10'), ids are saved wrong. Fixed both. Various improvements on their way, please stay tuned.
Merge branch 'master' of https://github.com/rusen/CHOP